"Matomo web analytics platform" matching MCP servers:

Matomo MCP Server to Work fast with Analytics

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

A Model Context Protocol server that provides tools to interact with Matomo Analytics API, enabling management of sites, users, goals, segments, and access to analytics reports through a MCP interface.

Enables LLMs to directly query a Matomo analytics instance, execute reporting methods, fetch historical trends, report metadata, and dynamically generated chart images through typed MCP tools.

Enables AI-powered analytics from Stripe, PayPal, and Google Analytics 4 (BigQuery) data sources with built-in guardrails and automated workflows for financial and web performance insights.

Provides AI assistants with read access to Clamp analytics data including pageviews, visitors, referrers, and custom events. Enables traffic analysis, conversion funnel evaluation, and metric alerts through natural language queries.

MCP server for Yandex Metrica analytics: query web analytics metrics, goals, conversions, and raw API data using natural language from AI clients like Claude and Cursor.

An MCP server that gives Claude read access to Umami web analytics, allowing natural language queries for stats, breakdowns, pageview trends, live visitors, and user journeys.

Cross-platform ad management MCP server for Google Ads and Meta Ads. Campaign analytics, A/B testing with z-test, anomaly detection, and budget reallocation. 15 tools, 60 tests.

AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Enables AI assistants to interact with SMB platform APIs for querying business data, managing tasks, accessing connectors, dashboards, and monitoring security.

Official Google Analytics MCP Server

MCP server for the beacon log analytics platform, exposing beacon's REST API as MCP tools and resources for AI agents to query and analyse AI-assistant usage data.

Enables AI assistants to query privacy-first web analytics from Measure.events, including pageviews, top pages, referrers, and custom event tracking, all via natural language.

Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

Enables AI assistants to query website statistics from Plausible Analytics, providing access to metrics like real-time visitors, traffic trends, and page performance. It supports both Plausible Cloud and self-hosted instances through the Stats API v2.

An MCP server that provides Google Analytics and Search Console data as tools for AI assistants, enabling natural language queries for web analytics, SEO performance, and site insights.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.